Yongjie Gui

Papers

Total Citations

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About

Yongjie Gui is a researcher whose work sits at the intersection of computer vision, robotics, and intelligent systems, with a particular focus on visual perception for humanoid robots. His most cited paper, "Visual Image Processing of Humanoid Go Game Robot Based on OPENCV" (2020, 9 citations), introduces a Python-based method for extracting chessboard information, using projection transformation for image correction and binarization for enhancement. This contribution addresses a key challenge in robotic game-playing: enabling machines to accurately perceive and interpret complex visual environments in real time. By advancing the visual processing capabilities of humanoid robots, Gui’s work supports broader applications in automation, human-robot interaction, and intelligent decision-making. His research demonstrates a practical integration of classical image processing techniques with modern robotics, offering a foundation for more adaptive and perceptive autonomous systems. Though his citation count is modest, the specificity and applicability of his contributions highlight his role in the ongoing development of vision-driven robotics.